# Artificial Intelligence System for Assessing Image Quality of Fundus Images and Its Effects on Diagnosis

> **NCT04289064** · — · UNKNOWN · sponsor: **Sun Yat-sen University** · enrollment: 300 (estimated)

## Conditions studied

- Retinal Diseases
- Artificial Intelligence

## Interventions

- **DEVICE:** Taking a fundus image

## Key facts

- **NCT ID:** NCT04289064
- **Lead sponsor:** Sun Yat-sen University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2020-02-01
- **Primary completion:** 2020-07-01
- **Final completion:** 2020-07-01
- **Target enrollment:** 300 (ESTIMATED)
- **Last updated:** 2020-02-28


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT04289064

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT04289064, "Artificial Intelligence System for Assessing Image Quality of Fundus Images and Its Effects on Diagnosis". Retrieved via AI Analytics 2026-06-05 from https://api.ai-analytics.org/clinical/NCT04289064. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*